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  • admin 9:52 am on September 30, 2016 Permalink
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  • admin 9:47 am on April 22, 2016 Permalink
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  • admin 9:53 am on October 4, 2015 Permalink
    Tags: , Cycling, Guide,   

    Let Cycling Guide you to Analytical Success 

    “It’s not a race!” I hear you cry. Well perhaps not, but cycling in London certainly is competitive, whether that’s with other cyclists or against the thousands of other commuters which tackle London’s roads and rail networks every day in a quest to shave a minute from their journey time.

    It was on one of these days during my regular jaunt down the A3 that I considered how the (unofficial) rules for cycling in London could be used as an aid to performing successful data

    1. Never get overtaken by a Boris* bike = Leverage your technology and all data

    I don’t care iof its Chris Froome or the Terminator riding a Boris bike, you simply can’t get overtaken. They are old, heavy, thick tyred brutes, if you are overtaken by one of these, then you are either still trying to clip your shoes in, or you are doing something incredibly wrong.
    For the majority of London’s cyclists, owning a serious bit of kit is common place, so there should be no excuses when it comes to generating some speed and being agile to get around quickly. Lightweight frames, skinny tyres, a range of gears, and unnecessary lycra all help London cyclists beat the competition.
    Similarly when it comes to performing analytics, you need to ensure you keep your analytical platforms up-to-date, with the latest of analytical techniques and data handling capabilities. If you want to stay ahead, you need to leverage all data sets that you have available, both internal and external. Your competition are already doing this, so make sure to stay ahead and think innovatively about how you can tap into new sources of information. The met office, demographics, open APIs, and crowd sourced data all offer opportunities.

    *London’s self-service, cycle hire scheme. Boris Johnson was mayor of London when it was launched

    2. There is always a gap = Look for the right question

    Often when cycling it looks like the road is completely full with cars and buses (and other bikes if the weather is nice) and that there is no way through. A peek around the corner and a squeeze through a gap can often reveal a clear route ahead, if you are a road savvy cyclist. Querying your route and the options in front of you quickly and effectively allows you to continue on your journey to a destination without losing time and energy along the way.
    In the analytical world, it is key to be agile and use fail-fast techniques, so that you may quickly eliminate the less valuable lines of enquiry and instead find the golden question that will lead you down the path to successful discovery. Analysts need to have the ability and flexibility to ask lots of questions of their data and establish a platform for iterating quickly when doing so. Every question will undoubtedly lead to another, and supporting this train of thought is essential to ensuring you go down the right avenues, rather than getting caught up in a single idea, going off at a tangent and missing your goal.

    3. Be wary of EVERYTHING = don’t jump to conclusions

    OK it’s not a race, but try telling that to London’s pedestrians. Average walking speeds are at least double that of any other city in the UK and combined with a hatred for waiting to cross the road, it’s no wonder all bikes must be fitted with bells at POS. Pedestrians with a death wish, terrible road surfaces, and psychopathic couriers all put our awareness to the test. Never assume you know what’s coming and switch off from the present. Understanding the context of your situation is important to ensure you reach your destination safely.
    Analytics is all about understanding your business problems so never skip this stage and jump to conclusions about what it is you think you may have found. Take stock of your surroundings and your industry environment and establish the problems you want to address. Learn about the industry and how the business works, before trying to analyse data to reach conclusions that are biased and wrong at worst. Knowing your industry will help translate data into useful insights that meet the needs of your business.

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    4. Know where you are going = what analytics techniques are available to you

    Navigating around London can be a tricky experience so it helps to know the best roads and routes available to get you around. A mix of one way systems and cycle super highways can cause confusion, hence being prepared in advance with a route mapped out is essential. Having a plan B in case of road closures or traffic jams can also help get you out of the trickiest situations.
    Analytical techniques can come in many forms and may depend on the skill set of the user. Knowing which techniques are applicable and available to you will help you get the most from your data and unearth the insights you are looking for. At times, you might even need to learn new techniques and expand your analytical tool box to get you further down your roadmap. New techniques, such as path analysis, text processing and graph analytics are changing the game.

    5. Discover new places and share= be at the bleeding edge of analytics and don’t be selfish!

    Cycling opens a world of opportunities to discover new things and places that a bus, tube, or car commuter wouldn’t ordinarily see. Social media ensures that any hidden gems a cyclist stumbles across are immediately Instagramed or Facebooked to ensure networks are aware of our escapades and to encourage others to join the experience.
    Analytics gives organisations the opportunity to do something unique in their market, make new discoveries and remain amongst the most innovative businesses. Gartner’s research found that organisations can be great at innovating within a function but often struggle to replicate the same success across the business as a whole*. So don’t be selfish, when you do something good and uncover some actionable insights, break through the silos and share it with other areas. A structure that allows communication and sharing of techniques will ensure everyone benefits.
    So there we have it, my top 5. Hopefully following these simple guidelines will lead you to something wheely spoketacular…

    * “Organizational Principles for Pricing Advanced Analytics and Data Science Teams” 04 September 2013, Gartner

    The post Let Cycling Guide you to Analytical Success appeared first on International Blog.

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  • admin 9:47 am on February 17, 2015 Permalink
    Tags: , Definitive, Guide,   

    The Definitive Guide to the Data Lake 


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